ABHAY PRATAP SINGH

Detail-oriented MSc candidate in Artificial Intelligence with experience developing production-level machine learning systems, specialising in computer vision, deep learning and time-series modelling. Skilled in Python and contemporary ML frameworks, delivering measurable performance improvements and end-to-end data pipelines. Seeking a Machine Learning Engineer position to implement reliable, data-driven solutions.

• AWS Cloud Solutions Architect – Professional Certificate
• Computer Vision for Engineering & Science (Coursera)
• Data Science with R
• Intro to H2O (Python)

• Machine Learning
• Deep Learning
• Data Mining
• Reinforcement Learning
• Computer Vision
• Artificial Intelligence and Research Skills
• Block chain

YOLO Object Detection & Synthetic Dataset Generation

• Built an object detection model with YOLO and PyTorch that reached around 90% accuracy on a custom dataset.

• Generated 4,000+ synthetic training images with automated annotation to overcome limited real-world data, then improved results through data augmentation and model tuning.

Blockchain-Enabled Hyperlocal Air Quality Monitoring

• Designed a privacy-preserving IoT system for street-level air monitoring in Bristol, using LoRaWAN sensors, Raspberry Pi edge gateways and a random forest model to calibrate low-cost sensors locally so raw data never leaves the neighbourhood.

• Added a blockchain audit layer for tamper-proof data-access logging and a generative design (genetic algorithm) solver to optimise sensor placement for health coverage and privacy, at ~1/20th the cost of a reference station.

Malicious URL Detector (Django)

• Built a web app classifying URLs as safe or malicious, integrating the VirusTotal API for real-time threat analysis.

• Indian